Add Scientific & Data Libraries Support

[danielcristho]

Currently, Pyodide focuses on basic Python usage. To improve the learning experience, especially for data analysis and scientific computing, we should extend support to commonly used scientific & data libraries that are compatible with Pyodide.

The following libraries are known to work well with Pyodide:

• numpy
• pandas
• scipy
• sympy
• matplotlib
• seaborn
• scikit-learn (limited use cases)

Goals

• Expand the Python playground capabilities for data & scientific use cases
• Keep everything runnable directly in the browser without installation